Aim

Part of Deep Processing, the parent dimension for encoding work.

Aim is the list of questions a topic must answer, written before the source is opened — why each concept matters, and how the concepts relate. The questions open a hunt: answering them will mean searching the material for importance and for relationships, and the searching is what does the encoding.

Aim is the first pass of the Bear Hunter System, the three-pass encoding loop inside Deep Processing — aim, then work the source into a map, then prune the map down. Written first, the questions change what the reading does: material arrives into a standing frame, already being compared and placed, instead of pouring past.

The two questions

Two questions carry the whole pass: why is this important? and how is this related to another concept? The first pushes toward purpose, function, and priority — it holds attention on the big picture while the detail streams past. The second forces comparison: dependency, contrast, cause and effect, and the relationships that were not obvious. It exists because the first question cannot escape what is already believed about the material; the link between two ideas often surfaces only when relating them is forced. The pair is a working restriction rather than a measured optimum — it stands in for nearly every other question worth asking, and it is kept narrow because a wide question set scatters the thinking and raises the odds of drifting far from the topic.

Relational questions are the ones worth this effort because memory follows connections. A concept that many routes run through gets maintained; an isolated fact is upkeep the brain declines to fund, however long it was stared at, so effort spent building connections makes the individual facts stick as a by-product. A “what is this” question stays shallow for the same reason — it can be answered without connecting anything, and the isolation is the defect, not the simplicity. Comparison also completes the lower-order work by itself: two things cannot be compared without learning what they are, and each definition arrives inside the comparison with its purpose attached. Definitions learned first and related later mostly do not survive, because nothing was integrated while it was still in mind.

Answering either question takes a judgment of what matters and why, rather than a retrieval. The effort of that judgment is the work itself, and a connection only counts when the relationship it records means something — a map that is merely connected is not yet coherent.

Running the pass

The pass starts with a skim: headings, learning objectives, diagrams, summary boxes, keyword lists, lecture slides, problem sets, chapter introductions. The keywords come off that skim deliberately out of the source’s order, and keywords the source never names count too — a paragraph whose concept goes unnamed, a diagram carrying an idea with no label, each gets a keyword of the learner’s own making. For a term that cannot even be guessed at, a one-paragraph gloss from a search is enough; that is scoping rather than studying. The list stays rough — raw material for questions, not notes.

The sizes here are the system’s working numbers, not measurements. A topic the size of a couple of textbook chapters or a few weeks of class holds 15–30 major concepts — terms, processes, people, cases, formulas, mechanisms, arguments — and catching roughly 80% of them in about 25 minutes beats catching all of them in two hours. Completeness is not this step’s job; a collection step that runs long usually means too many words, too much volume for current skill, or detail doing the pulling.

Then the two questions go over the list — top-down at first, because the earliest keywords have nothing to relate to yet; by the third or fourth there is enough on the table for the relating to work, and after that curiosity routes the order. The list was collected out of order to begin with, so nothing is lost by jumping. Each keyword gets placed as it is worked, so the load never piles up. As the questions cluster, the concepts group into rough chunks — a shared function, a common cause, a sequence, a contrast, a problem-solution pair, a recurring mechanism, a theme, a set of examples serving one purpose. Importance-Based Chunking is what the why-important question is feeding: grouping by why things matter rather than by where they appeared. Each relationship gets its reason written on it, because a bare line between two terms is a diagram and a written reason is a judgment.

The first structure is a hypothesis, and it is kept loose on purpose: effort already sunk into a structure makes the structure feel too expensive to break. Once rough chunks exist, a second question pass runs over the groups themselves — how do these chunks affect each other — and the clean relations between the biggest ones are the backbone. The pass ends with a short list: questions to answer, relationships to verify, chunks to test, unclear terms to watch for. Shoot takes that list next: the working pass that hunts the source for answers and builds the map.

Order control

A source’s order is somebody else’s flattening. Text, slides, and video are linear because delivery demands it: the author held the knowledge as a network and pressed it into a sequence to transmit it. Rebuilding the network is the learner’s job, and collecting keywords in the delivered order re-imports the flattening — the headings quietly become the chunk structure, and the questions inherit the author’s frame instead of interrogating it. That is why the collection step jumps around; Order Control holds the general principle this pass applies in its first five minutes. Encoding format and retrieval format do not need to match: material encoded in the structure that holds it can still be practiced in the linear format an exam will demand, so the order taken back during encoding costs nothing at retrieval.

Questions that work and questions that do not

Working questions usually start with why, how, when, what changes, or what depends on what. Ten stems cover most of the ground:

• Why does this matter?
• What problem does it solve?
• What would break without it?
• How does it relate to that other concept?
• What is the most important difference between these two?
• What causes it?
• What does it cause?
• Which examples belong together?
• What is this optimizing for?
• What would an examiner require of it?

Weak questions ask only for definitions: what is this, what does this word mean, what did the source say. Definitions are sometimes necessary and should not dominate the pass — the comparison work collects them anyway, purpose attached, so “what is it” earns its place for rough orientation and never for memorizing. Anything answerable directly, without comparison or judgment, tends to encode weakly, and a question list built that way is one of the most common causes of weak chunking and disorganized maps.

Weak:

What is mitosis? What does "diploid" mean? What did the chapter say about checkpoints?

Strong:

What would break without checkpoints — and what is mitosis optimizing for that meiosis is not?

The failure with a shape worth recognizing is the repackaged answer: a fact already held — plants make energy by photosynthesis — inverted into “how do plants make energy?”, where the answer is the fact it started as. It has the grammar of a question and does none of a question’s work. The selection rule that prevents it: questions that cannot already be answered. Every such question lands on a weak point, so an hour spent answering them is an hour spent entirely on weaknesses, where an hour of ready-made questions may touch one or two gaps and leaves the others invisible. A short session that produces nothing but correct answers is evidence the gaps have not been found yet. Relevance selects too: material that is personally live, or already interesting, gets connected more willingly because the brain has a reason to care — and a question whose answer is already in hand cannot supply one.

When to aim, and the smallest version that works

The pass earns the most before the main learning event: before a lecture, before the reading, before a video, before a dense self-study block, before revising a topic that feels fragmented. When before is impossible, immediately after still works — worse, and still far better than never. Prestudy sits alongside as the timing layer, not as a step of the system: it decides when learning starts and builds the rough frame, and Aim sharpens that frame into questions.

The smallest version that works, in the same working sizes:

1. A list of five to ten key terms.
2. The three that matter most, picked out.
3. “Why is this important?” asked of each of the three.
4. “How do these relate to each other?” asked across them.
5. One rough backbone: the three to seven biggest chunks.

Five to ten minutes covers it. It is a cut-down of the full pass rather than a substitute for it, and it is the default opening move on any new topic.

The pass is the first part of learning

Writing the questions is already learning. The judging and comparing they demand is the thinking the rest of the loop runs on, and time behind the wheel with the engine off was never driving. Progress gets calibrated accordingly — on what can be recalled and used, never on pages covered or notes produced.

The price is paid up front. First passes are slow, because every major concept takes both questions and both answers take thought. The cost falls as the structure already built starts absorbing new material — the next concept is recognizably like one already placed — so later topics attach faster than early ones. The slow phase is where most learners stop, and stopping there pays the full cost and forfeits the acceleration. What rises with skill is tolerance, while the effort stays: the load holds where it is and handling it stops being uncomfortable, which is the honest version of “it gets easier.”

The pass also has prerequisites. It assumes comfort with grouping ideas, judging what matters, and making notes non-linearly, all three at once; without them it overloads, and they are worth practicing separately first. Scope runs wide and shallow — the largest topic that can be tolerated in one pass, usually a whole topic, because a wide loose net catches a great deal and a small tight one catches almost nothing wherever it lands. The boundary bends outward a little too: a few minutes on something adjacent that unlocks the material is usually cheaper than the re-learning caused by staying narrow, while far outside the topic is the rabbit hole the two-question restriction exists to prevent.

How it feels

Slow, effortful, and uncertain is the expected texture. Going well, the pass produces curiosity about the answers, relationships that had not been visible before, a growing suspicion that the source’s order is not the best one, and a mild overwhelm at how many groupings are possible — and the strongest sign is a question whose answer is wanted for its own sake. The texture is the audit surface: Self-Regulation is the control layer that judges a technique by the thinking it produces, and during this pass the thinking can be felt while it happens.

A pass that worked leaves this behind:

• More why and how on the list than what.
• The questions raise curiosity rather than duty.
• The topic’s overall importance got its own question.
• At least a few concepts got compared directly.
• Rough chunks exist, loosely held.
• The next pass has a target.

Where it goes wrong, and the repair

The weak pass is recognizable while it happens: questions that are only definitions, headings copied into question form, questions whose answers were already held, the uncomfortable question avoided, the structure polished before any learning starts. Its products carry the same signature — answers that are a single fact rather than a set of relationships, a list that is mostly “what,” why-important skipped for most concepts, questions written for concepts but never for the groups holding them, and maps that feel disorganized because the backbone was never built from importance and relationship questions. Unfamiliar exam questions that feel impossible usually point the same way, concepts never related during encoding, though that reads as a sign rather than a law.

The repair that matters most is de-linearization: stuck inside the source’s order, the headings convert into a flat list and the list re-groups by importance. That single move re-runs the heart of the pass on material that had captured it.

The pass produces	The repair
Too many questions	Only the questions that would change the map stay.
Questions too basic	”What is X?” becomes “why does X matter?”
No curiosity anywhere	The questions move to what confused, surprised, or looked useful.
Detail taking over	Attention returns to the biggest concepts and their relationships.
”Why important” ticked with one reason	The question re-runs until several relationships of different weight sit side by side.
Relationships multiplying into chaos	A better central chunk and a re-chunk, never more arrows.

Two failures earn names. Importance-checklisting is “why is this important” answered with one reason and moved past — the question’s shape without its work, since most things matter for several reasons of different weight and the question has only finished when they can be compared. Spiderwebbing is relationships multiplying into chaos, and its repair lives on Importance-Based Chunking: a better central chunk, then a re-chunk. The warning that covers all of it: when the pass starts to feel like copying headings into question form, it has become a shortcut — the family The Shortcut Problem names — and it fails the test in The Technique Is Only as Good as the Thinking It Produces: the technique’s motions without the judgment those motions exist to force.

The working test runs over weeks. Within a few topics, new material in the same subject should attach faster and feel more familiar on first contact; if nothing attaches faster after several topics, the questions are almost certainly producing headings rather than relationships.

Run well, Aim is curiosity becoming directed: the topic that arrived as a loose cloud leaves the pass as a small set of important questions, tensions, and probable groupings, and Shoot carries those questions into the source to hunt the answers down.

Related Pages

• Deep Processing — the parent dimension; Aim is one encoding operator inside it.
• Bear Hunter System — the parent loop; Aim is its first pass, ahead of the working and pruning passes.
• Shoot — the next pass: the source worked against Aim’s questions into a rough map.
• Skin — the later pass: the map pruned to what survives without the source; it plays no part during Aim.
• Prestudy — the timing layer that builds the rough frame before the main event; when learning starts, never a step of the system.
• Importance-Based Chunking — where the why-important question leads: grouping by why things matter, and the home of the spiderwebbing repair.
• Order Control — the general principle behind out-of-order collection.
• Self-Regulation — the control layer; a technique’s quality is judged by the thinking it produces.
• The Technique Is Only as Good as the Thinking It Produces — the quality test that heading-copying fails.
• The Shortcut Problem — the family the heading-copy failure belongs to.

Sources

1. Pressley, McDaniel, Turnure, Wood & Ahmad (1987), Journal of Experimental Psychology: General — elaborative interrogation: answering “why” questions improves factual memory.
2. Dunlosky, Rawson, Marsh, Nathan & Willingham (2013), Psychological Science in the Public Interest 14(1) — elaborative interrogation and self-explanation rated moderate utility.
3. Craik & Lockhart (1972), Journal of Verbal Learning and Verbal Behavior 11, 671–684, and Craik & Tulving (1975), Journal of Experimental Psychology: General — semantic encoding outlasts structural encoding.
4. Chi, de Leeuw, Chiu & LaVancher (1994) — self-explanation and relational elaboration.
5. Bjork (1994) — desirable difficulties: the effort of encoding is the work.
6. Barnett & Ceci (2002) — the transfer literature, which is why relational-encoding failure on unfamiliar exams ships as a sign rather than a law.